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Hands-On Deep Learning for IoT

You're reading from   Hands-On Deep Learning for IoT Train neural network models to develop intelligent IoT applications

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789616132
Length 308 pages
Edition 1st Edition
Languages
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Authors (3):
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Aditya Trivedi Aditya Trivedi
Author Profile Icon Aditya Trivedi
Aditya Trivedi
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Dr. Mohammad Abdur Razzaque Dr. Mohammad Abdur Razzaque
Author Profile Icon Dr. Mohammad Abdur Razzaque
Dr. Mohammad Abdur Razzaque
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks FREE CHAPTER
2. The End-to-End Life Cycle of the IoT 3. Deep Learning Architectures for IoT 4. Section 2: Hands-On Deep Learning Application Development for IoT
5. Image Recognition in IoT 6. Audio/Speech/Voice Recognition in IoT 7. Indoor Localization in IoT 8. Physiological and Psychological State Detection in IoT 9. IoT Security 10. Section 3: Advanced Aspects and Analytics in IoT
11. Predictive Maintenance for IoT 12. Deep Learning in Healthcare IoT 13. What's Next - Wrapping Up and Future Directions 14. Other Books You May Enjoy

Section 3: Advanced Aspects and Analytics in IoT

In this section we will learn how to develop a DL solution for the predictive maintenance of IoT using the Turbofan Engine Degradation Simulation dataset. Moving on, in this section, we will examine how we can use DL-based IoT solutions in the field of healthcare and discuss two use cases in detail, looking at where healthcare services can be improved and/or automatized using DL-supported IoT solutions. Then, we will look at different challenges faced by existing DL techniques in IoT, especially in resource-constrained and embedded IoT devices, and introduce ourselves to a few future solution directions in order to address the remaining issues.

This section consists of the following chapters:

  • Chapter 8, Predictive Maintenance for IoT
  • Chapter 9, Deep Learning in Healthcare IoT
  • Chapter 10, What's Next: Wrapping Up and Future...
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